Eiichi Taniguchi

4.8k citations
110 papers · 3.2k · h-index 31

Impact in

Papers in

Eiichi Taniguchi

102 papers receiving 3.0k citations

Peers

Eiichi Taniguchi
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 1.8k
  • Transportation 1.2k
  • Building and Construction 2.1k
  • Automotive Engineering 934
  • Marketing 217
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Emrah Demir United Kingdom
Francesco Russo Italy
Shangyao Yan Taiwan
Konstantinos G. Zografos Greece
Chung‐Cheng Lu Taiwan
Alan L. Erera United States
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Citations per field
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Citations per year

Countries citing papers authored by Eiichi Taniguchi

Since Specialization
Citations

This map shows the geographic impact of Eiichi Taniguchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eiichi Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Taniguchi more than expected).

Fields of papers citing papers by Eiichi Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eiichi Taniguchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eiichi Taniguchi. The network helps show where Eiichi Taniguchi may publish in the future.

Co-authors

The 25 scholars most cited alongside Eiichi Taniguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eiichi Taniguchi Line = papers co-authored together Eiichi Taniguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001308
2 2004166
3 1999161
4 2000149
5 2014142
6 2006136
7 2016113
8 2009108
9 201496
10 201093
11 200584
12 200279
13 201272
14 201469
15 201269
16 201463
17 202060
18 198260
19 201459
20 201056

About Eiichi Taniguchi

Eiichi Taniguchi is a scholar working on Building and Construction, Industrial and Manufacturing Engineering, Automotive Engineering, Transportation and Organizational Behavior and Human Resource Management, having authored 110 papers that have together received 3.2k indexed citations. Recurring topics across this work include Urban and Freight Transport Logistics (63 papers), Vehicle Routing Optimization Methods (43 papers), Transportation and Mobility Innovations (43 papers), Transportation Planning and Optimization (29 papers), Advanced Manufacturing and Logistics Optimization (15 papers), Maritime Ports and Logistics (14 papers), Facility Location and Emergency Management (13 papers) and Smart Parking Systems Research (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.8k citations), Transportation (1.2k citations), Building and Construction (2.1k citations), Automotive Engineering (934 citations) and Marketing (217 citations). Eiichi Taniguchi has collaborated with scholars based in Japan, Australia and France. Frequent co-authors include Tadashi Yamada, Russell G. Thompson‬‬, Ali Gul Qureshi, Ron van Duin, Hiroshi Shimamoto, R.E.C.M. van der Heijden, Naoki Ando, Rojee Pradhananga, Yasushi Sasaki and Lætitia Dablanc. Their work appears in journals such as SOILS AND FOUNDATIONS, Transportation Research Part E Logistics and Transportation Review, International Journal of Urban Sciences, Transport Reviews and Transportation Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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